ReviewPublished 12 October 2026A review on advances in chemical compound toxicology predictionAhmed Hagag · Nada A. Elsayed · Ibrahim AbdelbakyFrontiers in Bioinformaticsdoi 10.3389/fbinf.2026.1974935
Original ResearchPublished 28 September 2026A comparative analysis of graph neural networks and classical machine learning for carbapenem-resistance prediction and genomic interpretation in Acinetobacter baumanniiIrfan Sharif Shaik · Morteza SarmadiFrontiers in Bioinformaticsdoi 10.3389/fbinf.2026.1885813
Original ResearchPublished 23 September 2026Structurally restricted message-passing within shallow architectures for explainable network-level brain decoding on small cohortsJosé Diogo Marques dos Santos · Maria Beatriz Ramos · Luís Paulo Reis · José Paulo Marques dos Santos · Bruno DireitoFrontiers in Behavioral Neurosciencedoi 10.3389/fnbeh.2026.1833995
ReviewPublished 7 September 2026AI-driven cybersecurity for industrial internet of things: architectures, challenges, datasets, and future research directionsSiddhartha Singhal · Kakelli Anil KumarFrontiers in Big Datadoi 10.3389/fdata.2026.1938279
Original ResearchPublished 3 September 2026Visual-affect-guided spatiotemporal graph modeling of disaster-image diffusion for embodied decision supportXiao Zhang · Wei ZhangFrontiers in Neuroroboticsdoi 10.3389/fnbot.2026.1889303
Original ResearchPublished 1 September 2026HyperIDS: a hypergraph learning and quantum-inspired transformer ensemble framework for IoT intrusion detectionSamayank Goel · Logeswari Govindaraj · Tamilarasi Kathirvel MuruganFrontiers in Big Datadoi 10.3389/fdata.2026.1901121
Original ResearchPublished 28 August 2026The topology of a family tree graph and its members’ satisfaction with one another: a machine learning approachTeddy Lazebnik · Amit Yaniv-RosenfeldFrontiers in Human Dynamicsdoi 10.3389/fhumd.2026.1744764
Original ResearchPublished 19 August 2026Graph Neural Networks with dilated convolutions for geomagnetic field forecasting: a single-station topological approachBryan Tipán · Ericson López · William Carvajal · Leonel GuamánFrontiers in Astronomy and Space Sciencesdoi 10.3389/fspas.2026.1854971
Original ResearchPublished 20 July 2026Hybrid deep unrolling and graph neural networks for super-resolution direction-of-arrival estimation in physics-informed antenna arraysSai Vinay ThattukollaFrontiers in Antennas and Propagationdoi 10.3389/fanpr.2026.1829394
Original ResearchPublished 29 May 2026Mission-aware BeiDou spoofing defense in UAV swarms with LLM-assisted context validationUsman Tariq · Kamran ShaukatFrontiers in Communications and Networksdoi 10.3389/frcmn.2026.1760543
Original ResearchPublished 4 May 2026Opportunistic routing in communications networks via learnable state-augmented policiesSourajit Das · Satyajeet Das · Kirtan Gopal PandaFrontiers in Communications and Networksdoi 10.3389/frcmn.2026.1779380
Communications and NetworksPublished 29 October 2025Graph-theoretic approach to mobility-aware frequency assignment via deep Q-learningHyewon Kim · Hong-Bae Jeon · Younggun Ji · Jiyeon Park · Chan-Byoung ChaeFrontiers in Communications and Networksdoi 10.3389/frcmn.2025.1657288
High Performance ComputingPublished 18 September 2024Addressing GPU memory limitations for Graph Neural Networks in High-Energy Physics applicationsClaire Songhyun Lee · V. Hewes · Giuseppe Cerati · Kewei Wang · Adam Aurisano · Ankit Agrawal · Alok Choudhary · Wei-Keng LiaoFrontiers in High Performance Computingdoi 10.3389/fhpcp.2024.1458674
Control EngineeringPublished 13 January 2023Graph neural networks for decentralized multi-agent perimeter defenseElijah S. Lee · Lifeng Zhou · Alejandro Ribeiro · Vijay KumarFrontiers in Control Engineeringdoi 10.3389/fcteg.2023.1104745
